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Yu-Chen Zhu

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#artificial intelligence Preprint Oct 2026

Defence against the dark arts of distillation: Unsupervised discovery of subliminal learning

When a language model is distilled from a teacher that shares its base parameters, the student can inherit behavioural traits of the teacher---including misalignment---even from data that is semantically unrelated to the trait (Cloud et al., 2026). All existing defences require knowing the trait. We remove this require...

Joseph Egan, C. Gilligan-Lee, Michael O'Riordan et al. · 0 citations
Preprint Oct 2026

Juno: Taming Predictive Latents for Vision-Language-Action Models

Joint-embedding predictive architectures (JEPAs) predict masked or future observations in representation space, offering a natural source of predictive latents for vision-language-action (VLA) models. Yet making these latents useful across pretraining, policy learning, and deployment requires addressing three failures:...

Yu-Chen Zhu, Chen-Yi Xu, Yu-Lin Zhang et al. · 0 citations
Preprint Sep 2026

VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement

VeriPhy, an auditable physical-verification system in which a text-only planner compiles the prompt into typed physical obligations and a statically validated execution plan before any frame is observed, is presented.

Wenzhuo Xu, Yu-Chen Zhu, Chongjian Ge et al. · 0 citations

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